Regulation, Law & Governance
101 records · 2 notes · records tagged with this as a related axis are included.
Records of laws and institutions starting to catch up
This axis gathers documents that are binding or soon will be: bills and implementing decrees, court rulings, government guidance and international agreements. Unlike technology announcements, these move through stages — introduced, passed, in force, enforced — so each record states clearly which stage it's at, and items that could still flip, such as whether a bill gets signed, are flagged separately and checked again. The same kind of event plays out differently in each country, so the jurisdiction is recorded too.
The signing was timed to Singapore International Cyber Week, and technical exchange with local safety and assurance bodies on evaluation, testing standards and incident response is planned. Company-reported, Singapore ra
In a company-reported sample (Sep 21–27, 2026; about 250,000 US conversations), politics, policy and society topics made up 5.75%, elections and voting 0.51%, conversations asking who to vote for 0.01%, and election-inte
Both operations placed some content in mainstream outlets, and OpenAI said Dark Clark is Category 5 on the influence-operation Breakout Scale, the first Category 5 operation it has disrupted since it began reporting. It
On the company's CyScenarioBench test, generally available models were blocked at the first prompt every time, the Defense tier was blocked in 46 of 50 runs, and the Red Team tier succeeded in 34 runs with no blocks (mat
The approach targets the EU AI Act requirement to mark generated text in a machine-readable way, and starts in the EU only rather than as a global default. The detector opens case by case to approved researchers and expe
A record of the focus of safety discussion moving from deployment time to training time. If labs accept in public documents the premise that models can escape containment during training, a procedural standard emerges th
At the same session, a lab (measurement and reporting) and an independent scientist (prior licensing and liability insurance) put forward different regulatory models. This gap becomes the real front line of international
A scene of a frontier lab's CEO proposing a regulatory design for his own industry at a Security Council session. All four proposals lean toward "measurement, reporting and checking", leaving out deployment approval and
The structure of propping up the free tier with ads grew in a single month from 40 countries in August to more than 60. It means the model of recovering inference costs through ads rather than subscription fees is past t
A document that came after Anthropic's embedded evaluation (resident evaluators) last week, and part of a trend in which frontier labs have each begun to codify "how far to let external evaluation in". However, there are
This narrated briefing centers on the paradox that leading companies actually block their own employees from using outside models, and looks for the reasons in log retention periods and data sovereignty. The issue narrow
A form in which a company writes and submits a policy framework before regulation arrives. It is part of the same current as California's SB 1119 (Aug 31, 2026), but runs in the opposite direction.
The first case of defining external audit not as "receiving a report" but as "letting people inside". Together with the automation-index proposal from the same week (Sep 17), it forms a single institutional design for "m
The first case of a lab itself putting numbers on "how much AI research is AI doing?". The limits of self-measurement and self-publication remain, but paired with the Accenture embedded-evaluation announcement in the sam
A design that moves dual-use risk from "block it for everyone" to "open it to vetted people and watch from behind". The core is defining the main risks as theft of legitimate access, insiders and agent misuse — a shift f
It breaks down US conflicts over data centers not as a power or technology problem but in terms of the structure of domestic politics. The clash plays out on two levels. Between the federal executive branch and Congress,
It shows in numbers that when agents are put to work on regulated tasks, failures come not from a lack of capability but from user pressure. In real-world operations, "does it follow the SOP?" becomes a question not of m
A declaration that misalignment will be handled not through after-the-fact papers but through an "incident reporting" system — a form that carries the security industry's practice of vulnerability disclosure over to mode
A document in which a first-party provider records, with numbers, the point at which a threshold in attack automation was crossed, showing that the AI supply chain (API keys) itself has begun to be targeted.
A case of a founding figure of alignment research returning to corporate governance by way of a regulator — the point at which the human network of safety oversight entered actual decision-making structures.
The point at which models for judging the authenticity of generated content moved beyond a research topic to be productized as standard components of the broadcast infrastructure stack.
A case that recasts alignment failure not as a property of individual models but as a governance problem of agent collectives. The authors propose institutional mechanisms such as graduated sanctions and collective selec
Institutionalizes an access-control approach that deploys dual-use offense-and-defense models only to vetted defenders
A stage at which general-purpose chatbots connect directly to regulated medical record systems. The front line of context connection (RAG, connectors) has moved from the public web into regulated data, while the safety e
A design answer to the point where demands for data sovereignty clashed with misuse monitoring. If a structure that makes safety monitoring work outside the vendor's servers becomes standard, the barrier to adopting fron
The first case of the top tier of a company's own risk framework actually being triggered. A reference point for checking whether declarative thresholds lead to concrete measures such as deployment delays and access rest
A case of a frontier lab proactively backing state-level youth-safety regulation. In contrast with its 2024 opposition to SB 1047, it shows a phase in which the industry, rather than rejecting regulation wholesale, accep
The first comprehensive US legislative attempt to address child safety in companion chatbots by statute — whether it is signed will decide the state-law standard
A case of opening an external checking channel into a structure in which vendors monopolize data on actual usage. The design spells out the freedom-to-publish clause and the third-party audit in order to set it apart fro
The first case of a major platform creating an AI persona category and, going beyond labeling, structurally treating it differently in its recommendation algorithms
A non-EU lab signing on to transparency norms for AI-generated content. It is a voluntary tool and does not in itself replace legal compliance
Moves the high-risk obligations (Annex III) from Aug 2, 2026 to Dec 2, 2027, so citing Aug 2, 2026 for the high-risk obligations is wrong; the Aug 2, 2026 application date of the Article 50 transparency obligations stays
The point of dispute in the lyrics lawsuit widens from training data to the handling of copyright notices. There is no ruling on the merits yet
Confirms that the draft put out for legislative notice on May 21, 2026 actually took effect on the scheduled date. Kept as a separate entry so as not to mix up the legislative notice and the entry into force
The summary judgment (Alsup) and the final approval (Martínez-Olguín) are separate events before separate judges. Claims based on future outputs are reserved
Unlike the high-risk obligations, which the Omnibus postponed, the Commission confirms through guidelines that the transparency obligations apply as scheduled
A revision only 7 months after Phase I was finalized. Japan puts agile governance into practice as an actual revision cycle
The first session in which AI governance discussions moved beyond individual jurisdictions into a UN framework
The day the omnibus postponing the application of high-risk obligations cleared the Parliament stage — the procedural basis for the postponement
The first federal appellate ruling on fair use in AI training is pending
The point where the same person moved from diagnosing risks (January) to prescribing policy
This is the pre-announcement stage, not the final decree. It shows the draft form of the vulnerable-group categories and the public procurement provisions
A de facto retreat from the first comprehensive state AI law in the US. An event you must check before citing Colorado
The moment the effective postponement of the AI Act's high-risk obligations was decided
Selected from about 2,600 applicants from about 140 countries
Korea's first statutory AI basic plan. However, the version posted on the government portal has no GPU or budget figures; they appear only in the attached PDF
The summit lineage moves outside the West
The first case of generative AI being regulated under the DSA rather than the AI Act
However, fact-finding investigations and fines come with a guidance period of at least 1 year, so statements that penalties begin in 2026 are inaccurate
A training-data dispute over lyrics and music
The first statutory basic plan under the AI Promotion Act. Japan locks in a minimal-regulation, maximal-use position in a national document
A follow-up step showing that the Nov 4, 2025 judgment on the merits is not final. It will be fought again on appeal
The point at which the federal government and the states shifted from a hierarchical relationship to an adversarial one
The start of discussions on postponing and simplifying high-risk obligations
Summing it up as simply a loss for Getty is wrong. The core issues were not decided; they were withdrawn
Passed one year after the SB 1047 veto, scaled back to focus on transparency. It went on to compel each lab to publish its framework
The largest settlement in an AI training-data dispute
Confirms that multiple lawsuits have been consolidated and are proceeding as MDL 3143
The document in which China moved its AI governance from risk classification to risk grading. A sign of convergence with EU-style risk tiers
Institutionalizes AI governance at the UN level
A document in which China made adoption rates, not the model race, its national target metric. Policy language shifts from development to diffusion
GPAI obligations, governance and penalties take effect
The EU approach of spelling out legal obligations through a voluntary code
Federal policy shifts from regulation to industrial promotion
Citing it as precedent for a Meta win is wrong. The market-dilution theory is valid but was not proven
The first case to rule separately on training itself and on how the data was acquired
A lighter-touch model of state law built around an intent requirement
Redefined the institution's mission from safety to standards and security
Japan's first AI law was settled as a promotion act without penalties. Enactment, promulgation and full entry into force are 3 different dates and are often confused
The first case of Korean regulatory enforcement against a foreign AI service
Denying a motion to dismiss is not a ruling on the merits. It is often cited as a fair use win or loss, so the stage is noted here explicitly
The first case of making the labelling of AI-generated content a legal duty
Shortcomings in third-party data transfers and the privacy policy were found
The point where the international agenda shifted from safety to action and investment
But the court stated explicitly that only non-generative AI was before it that day. Citing it as generative AI precedent is wrong
The first day actual obligations took effect
A break in the direction of US AI regulation
This is the promulgation date, not the effective date. The addenda set a 1-year grace period, so it must be kept distinct from the Jan 22, 2026 entry into force
The world's second comprehensive AI law, after the EU's
The first setback for legislation regulating frontier models
The first case over image-generation model training to move into substantive proceedings
Entry into force is not application. Application is phased
The starting point for counting the entry-into-force date
The origin of the practice of each lab publishing its safety framework
An international AI governance milestone co-hosted by Korea
The day the AI Act's legislative procedure ended. Everything after this is a question of entry-into-force and application dates, not of whether it becomes law
Widely cited as the first comprehensive state AI law in the US, but its obligations were never enforced: SB 25B-004 (signed Aug 28, 2025) pushed the date to June 30, 2026, and SB 26-189 (signed May 14, 2026) repealed and
Chose a single soft-law document, in contrast to the hard law of the EU AI Act. Later became the skeleton of the AI Promotion Act
The government drew, in writing, the actual limits of the provision that is cited internationally as making AI training free in Japan. Fine-tuning aimed at imitating an artistic style is not exempt
A government document itself acknowledges that Korea has no TDM exemption like Article 30-4 of Japan's Copyright Act. The document that defines the asymmetry between Korean and Japanese law on training data
The first major training-data lawsuit brought by a news organization
A date often wrongly cited as the passage of the AI Act
The starting point of the line of international AI safety summits, and the source of the mandate for the International AI Safety Report
The first non-binding multilateral norms for frontier AI
The first comprehensive executive action on AI at the US federal level
The world's first regulation dedicated to generative AI
Provisions on generative AI were added at this stage
The day the Council's position for the EU trilogue negotiations was locked in — later changes to the text were negotiated against this document
Real-name authentication and labelling duties for deepfakes. The forerunner of generative AI regulation
An algorithm registry system and the right to refuse personalized recommendations
The starting point of the EU's first comprehensive AI regulation
The EU's legal basis for governing AI training data